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Sketch-based 3D model retrieval utilizing adaptive view clustering and semantic information

: Li, B.; Lu, Y.; Johan, H.; Fares, R.


Multimedia tools and applications 76 (2017), No.24, pp.26603-26631
ISSN: 1380-7501
ISSN: 1573-7721
Journal Article
Fraunhofer Singapore ()

Searching for relevant 3D models based on hand-drawn sketches is both intuitive and important for many applications, such as sketch-based 3D modeling and recognition, human computer interaction, 3D animation, game design, and etc. In this paper, our target is to significantly improve the current sketch-based 3D retrieval performance in terms of both accuracy and efficiency. We propose a new sketch-based 3D model retrieval framework by utilizing adaptive view clustering and semantic information. It first utilizes a proposed viewpoint entropy-based 3D information complexity measurement to guide adaptive view clustering of a 3D model to shortlist a set of representative sample views for 2D-3D comparison. To bridge the gap between the query sketches and the target models, we then incorporate a novel semantic sketch-based search approach to further improve the retrieval performance. Experimental results on several latest benchmarks have evidently demonstrated our significant improvement in retrieval performance.